Columnar Nosql

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

Add access to multiple NoSQL repositories and provide report acceleration and interactive Dashboard interface: For the booming data application environment, Splunk has launched a proprietary integrated data analysis product hunk, alias Splunk Analytics for Hadoop and NoSQL data Stores, as the name suggests, it can transform Hadoop and NoSQL databases of unstructured, yuan-beginning data, quickly and easily into the information that can assist business decision-making, provide search, ...

May 7, 2014--Splunk Inc. (NASDAQ:SPLK), a leading real-time operational intelligence software provider, announces the launch of version 6.1 Hunktm:splunk for Hadoop and NoSQL Data stores? Analytics for Hadoop and NoSQL Data Stores. Hunk 6.1 can transform the original unstructured data in Hadoop and NoSQL data storage to ... faster and more easily.

Over the past three years, the Hadoop ecosystem has expanded to a large extent, with many major IT vendors introducing Hadoop connectors to enhance the top tier of Hadoop or the Hadoop release that the vendor uses. 　　Given the exponential growth in the deployment rate of Hadoop and the growing depth and breadth of its ecosystems, we wonder whether the rise of Hadoop will lead to the end of traditional data warehousing solutions. We can also put this issue in a larger context to discuss: to what extent, large data will change ...

In recent years, the concept of big data has spread rapidly and its popularity has been on the rise. Its development has been booming. The momentum of blowout even has to be covered by cloud computing. Big Data Big Money If 2012 is compared to the root of big data, it will usher in its sprout growth in 2013 and even its year-long results. A number of IT research institutes predict that the big data market will increase by at least 40% annually. The big data market in 2012 will be about 5 billion U.S. dollars and will double this year. Big data technology business opportunities, huge ...

Star Ring Technology's core development team participated in the deployment of the country's earliest Hadoop cluster, team leader Sun Yuanhao in the world's leading software development field has many years of experience, during Intel's work has been promoted to the Data Center Software Division Asia Pacific CTO. In recent years, the team has studied large data and Hadoop enterprise-class products, and in telecommunications, finance, transportation, government and other areas of the landing applications have extensive experience, is China's large data core technology enterprise application pioneers and practitioners. Transwarp Data Hub (referred to as TDH) is the most cases of domestic landing ...

Apache Hadoop is the foundation of a new generation of data warehouses. Hadoop is used by companies as a strategic role in their current warehousing architectures, such as extraction/transformation/loading (ETL), data staging, and unstructured content preprocessing. I also see Hadoop as a key technology in a new generation of large-scale parallel data warehouses in the cloud, and Hadoop complements today's warehousing techniques and low latency streaming platforms. At IBM, we look forward to the next few years, Hadoop and data warehousing technology can be more perfect for each other ...

Large data is hailed as the key strategic business asset for the future. This means that in the near future, employees in other departments will also want to know the IT department's strategy for big data. How do you explain that to them? To be sure, handling large amounts of data is not new to most IT departments, but analysts say big data is different from data warehousing, data mining, and business intelligence analysis. Data is accumulating at unprecedented speed and variability, and unlike previous data, most of the data is unstructured and raw. Blogs, social networks, machine sensors and location ...

Large data is hailed as the key strategic business asset for the future. 　　This means that in the near future, employees in other departments will also want to know the IT department's strategy for big data. How do you explain it to them? 　　To be sure, handling large amounts of data is not new to most IT departments, but analysts say big data is different from data warehousing, data mining, and business intelligence analysis. Data is accumulating at unprecedented speed and variability, and unlike previous data, most of the data is unstructured and raw. Blogs, social networks, machine sensors, and ...